The quantity \(E(\mathbf {v},\mathbf {h})\)  as appeared in Eq. (REF ) is also called the RBM energy in the field of machine learning, because it is the energy function for an RBM (restricted Boltzmann machine) [1]}. The nodal configuration with the minimum RBM energy (or RBM ground state) corresponds to the mode of the RBM joint PMF (probability mass function) [1]}, [3]}. Finding the mode of the joint PMF allows for a much more efficient sampling of the PMF [4]}, [5]}, [6]}, which helps improve the RBM pre-training in both decreasing the number of iterations to convergence and minimizing the KL-divergence [7]}, [8]}, [9]}. A brief extension of this discussion will be presented in Section , and a more thorough treatment of this topic will be given in our related work [10]}.
